Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Quick Terrain Modeler, created by Applied Imagery, stands out as a leading software for 3D visualization and point cloud analysis, specifically tailored for effective LiDAR data utilization. Its intuitive interface simplifies the process for users dealing with large 3D datasets, enabling quick analyses and the easy export of diverse outputs with little prerequisite knowledge. The software is versatile, accommodating data from various origins such as LiDAR, photogrammetry, radar, and sonar, while also facilitating smooth transformations between different coordinate systems all within a unified environment. Among its notable features are the ability to visualize extensive 3D datasets in both point cloud and surface model styles, interactive inspection functionalities, 3D editing tools, automatic classification of point clouds, and building extraction capabilities, along with a comprehensive array of geospatial analysis tools. Compatible with Windows operating systems, Quick Terrain Modeler also provides a free trial version, allowing potential users to experience its functionality firsthand before committing to a purchase. With its robust features and user-oriented design, it caters to professionals seeking to enhance their data analysis and visualization tasks.
Description
Scale Data Engine empowers machine learning teams to enhance their datasets effectively. By consolidating your data, authenticating it with ground truth, and incorporating model predictions, you can seamlessly address model shortcomings and data quality challenges. Optimize your labeling budget by detecting class imbalances, errors, and edge cases within your dataset using the Scale Data Engine. This platform can lead to substantial improvements in model performance by identifying and resolving failures. Utilize active learning and edge case mining to discover and label high-value data efficiently. By collaborating with machine learning engineers, labelers, and data operations on a single platform, you can curate the most effective datasets. Moreover, the platform allows for easy visualization and exploration of your data, enabling quick identification of edge cases that require labeling. You can monitor your models' performance closely and ensure that you consistently deploy the best version. The rich overlays in our powerful interface provide a comprehensive view of your data, metadata, and aggregate statistics, allowing for insightful analysis. Additionally, Scale Data Engine facilitates visualization of various formats, including images, videos, and lidar scenes, all enhanced with relevant labels, predictions, and metadata for a thorough understanding of your datasets. This makes it an indispensable tool for any data-driven project.
API Access
Has API
No
API Access
Has API
No
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Applied Imagery
Country
United States
Website
appliedimagery.com/download/
Vendor Details
Company Name
Scale AI
Founded
2016
Country
United States
Website
scale.com/data-engine
Product Features
Product Features
Data Labeling
Human-in-the-loop
No
Labeling Automation
No
Labeling Quality
No
Performance Tracking
No
Polygon, Rectangle, Line, Point
No
SDK
No
Supports Audio Files
No
Task Management
No
Team Collaboration
No
Training Data Management
No
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No